from gevi_classes import *
from paths import *
%matplotlib inline
%load_ext autoreload
%autoreload 2
# from IPython.display import set_matplotlib_formats
# set_matplotlib_formats('jpeg')
# %config InlineBackend.figure_format = 'jpeg'
# %config InlineBackend.rc = {'font.size': 10, 'figure.figsize': (6.0, 4.0), \
# 'figure.facecolor': (1, 1, 1, 0), 'savefig.dpi': 100, \
# 'figure.subplot.bottom': 0.125, 'figure.edgecolor': (1, 1, 1, 0)}
%%javascript
IPython.OutputArea.auto_scroll_threshold = 100;
# instantiate utility class
gr = Graph()
# load data
mice = loadDataLight()
# loadMask(mice.mice)
gr.fRmin = 0
gr.fHmin = 0
gr.fHmax = 1400
gr.fRmax = 100
alpha = mouseB.experiments[2].meanAlphaModel
# for mouse in mice.mice:
# for exp in mouse.experiments:
# for rep in exp.repeats:
# gr.plotModels(mouse, exp.number, rep.number, alpha, plotAlpha=False)
def plotMouseModels(mouse):
for exp in mouse.experiments:
for rep in exp.repeats:
gr.plotModels(mouse, exp.number, rep.number, alpha, plotAlpha=False)
plotMouseModels(mice.mice[2])
plotMouseModels(mice.mice[3])